Mercury Electronics

Amazon FBA Product Research Datadive Specialist

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: TYPE OF WORK

Gig

: SALARY

$7USD / completed data dive

: HOURS PER WEEK

30

: DATE UPDATED

Mar 21, 2026

JOB OVERVIEW

Job Type:

Project-Based / Part-Time (Recurring Research Projects)

Pay:

$7 USD per completed DataDive

Overview

We are looking for an experienced Amazon FBA product research specialist who is already very familiar with DataDive (Brandon Young method) and Jungle Scout and can begin work right away.

This is not an entry-level VA role.

You must already know how to use these tools professionally.

Tools You MUST Already Know

DataDive (Brandon Young methodology, most important)

Jungle Scout (Catalyst & Product Database)

Google Sheets

If you need training on these tools, please do not apply.

Project Structure

Each project consists of 100 DataDives

After full completion of 100 DataDives, there may be no work for several months, then another project begins.

We expect to complete 400–500 DataDives over the next year.

Your Responsibilities
1. Product Discovery

Use Jungle Scout Catalyst

Work within niches we specify

Apply correct price and revenue filters we specify

Identify strong product ideas for DataDive

2. DataDive Execution

Select at least 10 (15 is better) very similar competing products. If there are not 10 very similar competing products to select then a datadive can't be done for this niche.

Identify when niches should be split into multiple valid dives

(example: battery vs rechargeable versions)

Run separate DataDives when appropriate

3. Keyword Cleanup

Clean the Master Keyword List

Remove brand names

Remove irrelevant phrases

4. Keyword Expansion

Review Outliers and Residue keywords

Add relevant phrases when appropriate

5. Product Scorecard

Complete as much of the product scorecard in DataDive as possible

6. Google Sheet Reporting

For each DataDive, provide:

Link to the completed DataDive

Average variations per seller (found in Master Keyword List section)

Average price (found in Master Keyword List section)

Average listing age (found in Master Keyword List section)

Search volume percentage (found in Overview section)

Average rating (found in Master Keyword List section)

Important Notes

We care about correct execution, not on finding “good” products

Some DataDives will be strong, many will not — this is expected

You must be able to work independently and follow the workflow accurately

How to Apply

Please include:

Your experience using DataDive

How long you have been doing Amazon product research

Confirmation that you are familiar with Brandon Young’s DataDive method

Any examples of past research work (optional)

Applications without real DataDive experience will not be considered.

SKILL REQUIREMENT

FBA JungleScout

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Mercury Electronics

Amazon FBA Product Research Datadive Specialist

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

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